code: def fix(
      module: BATCHNORM, **kwargs
  ) -> Union[nn.GroupNorm, INSTANCENORM]:
      logger.info(
          "The default batch_norm fixer replaces BatchNorm with GroupNorm."
          "To overwrite the default to InstanceNorm, call fix() with replace_bn_with_in=True."
      )
  
      is_replace_bn_with_in = kwargs.get("replace_bn_with_in", False)
      num_groups = kwargs.get("num_groups", None)
  
      if is_replace_bn_with_in and num_groups is not None:
          raise ValueError(
              "is_replace_bn_with_in and num_groups are mutually exclusive"
          )
  
      return (
          _batchnorm_to_instancenorm(module)
          if is_replace_bn_with_in
          else _batchnorm_to_groupnorm(module, num_groups=num_groups)
      )
  
file_path: opacus/opacus/validators/batch_norm.py
imports: import logging
  import math
  from typing import List, Optional, Union
  import torch.nn
  from .errors import ShouldReplaceModuleError, UnsupportableModuleError, UnsupportedModuleError
  from .utils import register_module_fixer, register_module_validator
label_desc: Use image node_id 2 for calling a global function with example usage: fix(module) and returns: unknown